Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO

In this letter, we consider the problem of channel estimation for large intelligent metasurface (LIM) assisted massive multiple-input multiple-output (MIMO) systems. The main challenge of this problem is that the LIM integrated with a large number of low-cost metamaterial antennas can only passively...

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Bibliographic Details
Published in:	IEEE wireless communications letters Vol. 9; no. 2; pp. 210 - 214
Main Authors:	He, Zhen-Qing, Yuan, Xiaojun
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation algorithms Array signal processing Bilinear factorization Channel estimation Computer simulation large intelligent metasurface massive MIMO matrix completion Metamaterials Metasurfaces MIMO (control systems) Signal processing Signal processing algorithms Sparse matrices
ISSN:	2162-2337, 2162-2345
Online Access:	Get full text
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Abstract	In this letter, we consider the problem of channel estimation for large intelligent metasurface (LIM) assisted massive multiple-input multiple-output (MIMO) systems. The main challenge of this problem is that the LIM integrated with a large number of low-cost metamaterial antennas can only passively reflect the incident signals by certain phase shifts, and does not have any signal processing capability. To deal with this, we introduce a general framework for the estimation of the transmitter-LIM and LIM-receiver cascaded channel, and propose a two-stage algorithm that includes a sparse matrix factorization stage and a matrix completion stage. Simulation results illustrate that the proposed method can achieve accurate channel estimation for LIM-assisted massive MIMO systems.
AbstractList	In this letter, we consider the problem of channel estimation for large intelligent metasurface (LIM) assisted massive multiple-input multiple-output (MIMO) systems. The main challenge of this problem is that the LIM integrated with a large number of low-cost metamaterial antennas can only passively reflect the incident signals by certain phase shifts, and does not have any signal processing capability. To deal with this, we introduce a general framework for the estimation of the transmitter-LIM and LIM-receiver cascaded channel, and propose a two-stage algorithm that includes a sparse matrix factorization stage and a matrix completion stage. Simulation results illustrate that the proposed method can achieve accurate channel estimation for LIM-assisted massive MIMO systems.
Author	Yuan, Xiaojun He, Zhen-Qing
Author_xml	– sequence: 1 givenname: Zhen-Qing surname: He fullname: He, Zhen-Qing email: zhenqinghe@uestc.edu.cn organization: Center for Intelligent Networking and Communications, National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China – sequence: 2 givenname: Xiaojun orcidid: 0000-0002-0433-6535 surname: Yuan fullname: Yuan, Xiaojun email: xjyuan@uestc.edu.cn organization: Center for Intelligent Networking and Communications, National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
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Cites_doi	10.1109/TSP.2014.2357776 10.1109/TAP.2017.2758797 10.1109/TWC.2019.2936025 10.1109/TSP.2018.2879620 10.1137/15M1050525 10.1109/MCOM.2018.1700659 10.1109/TSP.2006.881199 10.1137/080738970 10.1109/TCOMM.2017.2761384 10.1109/MCOM.2011.5783993 10.1109/TWC.2019.2922609
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SubjectTerms	Algorithms Approximation algorithms Array signal processing Bilinear factorization Channel estimation Computer simulation large intelligent metasurface massive MIMO matrix completion Metamaterials Metasurfaces MIMO (control systems) Signal processing Signal processing algorithms Sparse matrices
Title	Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO
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